Uplatz is a global IT Training & Consulting company
Send email to info@uplatz.com to ask for a customized course
Blogs on Machine Learning (ML), ML engineering, ML ops, application of ML to industry
Summary This blog presents a detailed guide to implementing Artificial Intelligence, Data Science, and Machine Learning using R, a language widely used for statistical computing and data visualization. Learn how Read More …
Summary This blog provides a complete overview of how Python powers Artificial Intelligence (AI), Data Science, and Machine Learning (ML). It introduces core libraries, use cases, and project workflows. Perfect Read More …
Premier Open-Source Machine Learning Frameworks: TensorFlow, PyTorch, and Scikit-learn The modern machine learning landscape is powered by a sophisticated ecosystem of open-source frameworks that provide the tools, libraries, and infrastructure Read More …
Part I: The Foundations of Machine Learning Section 1: Defining the Landscape: AI, Machine Learning, and Deep Learning The modern technological era is increasingly defined by systems that exhibit intelligent Read More …
Executive Summary Artificial Intelligence (AI) is transforming industries at an unprecedented pace, but it’s also exposing a major fault line in the global workforce: the AI skills gap. As businesses Read More …
Introduction Hey there, future machine learning engineers and AI professionals! If you’re wondering how to start a machine learning career in 2025, this guide covers essential ML skills, top projects, and job trends. You’re embarking on Read More …
Machine learning and artificial intelligence (AI) are rapidly evolving fields with a wide range of job roles and specialties. Artificial Intelligence is a broader field that encompasses the development of Read More …
Machine learning is a dynamic field with a wide range of job roles, each focusing on different aspects of developing, implementing, and utilizing machine learning models and algorithms. The specific Read More …
Introduction In the ever-evolving landscape of machine learning and artificial intelligence, managing the end-to-end lifecycle of models can be a challenging endeavour. From data pre-processing and model training to deployment Read More …
Who is a Machine Learning Engineer? A Machine Learning Engineer (commonly referred as ML Engineer) is a professional who specializes in designing, developing, and deploying machine learning models and algorithms. Read More …